Data Analysts in the Disney+ Content Analytics team are the experimentation and analytics partner for the Disney+ studio content team. They focus on driving content engagement on Disney+ through measurement, analysis, and insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations. Responsibilities :
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Goaling and KPIs: Work “full-stack” to define KPIs and goal metrics with XFN stakeholders, forecast outcomes, and measure pacing against those targets.
Business Performance Reporting, Visualization, and Regression Management: Be the primary partner for cross-functional stakeholders to understand performance of content on the platform. When content engagement is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this analyst will be tasked with forecasting and opportunity sizing. This will help business stakeholders evaluate trade-offs in different approaches, and create targets for driving business performance.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
5+ years of analytical experience.
3+ years work experience using SQL and Python/R or other statistical programming language.
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Degree in an analytical field.

Aug 30, 2019

Full-time

Data Analysts in the Disney+ Content Analytics team are the experimentation and analytics partner for the Disney+ studio content team. They focus on driving content engagement on Disney+ through measurement, analysis, and insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations. Responsibilities :
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Goaling and KPIs: Work “full-stack” to define KPIs and goal metrics with XFN stakeholders, forecast outcomes, and measure pacing against those targets.
Business Performance Reporting, Visualization, and Regression Management: Be the primary partner for cross-functional stakeholders to understand performance of content on the platform. When content engagement is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this analyst will be tasked with forecasting and opportunity sizing. This will help business stakeholders evaluate trade-offs in different approaches, and create targets for driving business performance.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
5+ years of analytical experience.
3+ years work experience using SQL and Python/R or other statistical programming language.
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Degree in an analytical field.

At Disney, we are storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The Disney Parks Experiences & Products ( DPEP ) Technology team combines custom technology solutions with creativity to produce robust applications that enhance all aspects of the guest experience. From one of the most sophisticated hotel reservation systems in the world to Disney Cruise Line shipboard systems, Disney Vacation Club member services, FastPass ticketing, PhotoPass, and even inventory applications to ensure we have the right number of cast costumes. Also through our award-winning websites, we provide a digital portal to magical travel destinations such as the Walt Disney World® Resort in Florida, the Disneyland® Resort in California, Disney Cruise Line, Disneyland Paris, Hong Kong Disneyland Resort and Shanghai Disney Resort. DPEP Technology seeks forward-thinking team members who are passionate about delivering a quality product and enjoy working closely with business partners on both strategic and tactical challenges.
Responsibilities :
This intern could be expected to work on engineering and ingestion of multiple data flows/pipelines from on-prem to BigData Hadoop platform in Cloud. They will work on developing workflows to move, transform, store and consume the data using BigData/Hadoop technologies. They will work on deploying various application code/modules on the platform and verifying the executions. The intern could also work with data scientists to develop and operationalize data used by multiple machine learning models, work on creating an automated monitoring process and reporting on the critical alerts and/or be working on data analysis and analytics design pattern experience and be effective at developing solutions as part of project team.
Basic Qualifications :
What you bring…
Strong understanding of Computer Science fundamentals
Strong understanding of Data Lake, Big Data, Hadoop concepts.
Strong understanding of Data Security concepts.
Developer skills in Java and Python.
SQL experience/knowledge
Familiarity with AWS, HDFS/Hive, Spark/Scala, NiFI and/or similar technologies
Familiarity with machine learning libraries like Spark MLLib, AWS Machine Learning, Mahout, JSAT or similar
Solid grounding in data science and information management disciplines
Understanding of Linux operating system and networking fundamentals.
Problem solving and analysis skills
Excellent written, verbal, interpersonal communication and time management skills
Preferred Qualifications:
NiFi experience/knowledge
Numpy experience/knowledge
Pandas experience/knowledge
Python experience/knowledge
Scala experience/knowledge
Database experience such as MySQL, NoSQL, etc...
Preferred Education :
Junior, Senior, Graduate Level student or recent graduate (within 6 months of graduating) pursuing a Bachelor's or Master's Degree or PhD in Computer Science, Computer Engineering, Management Information Systems or related field. Additional Information :
Internship Eligibility:
Must be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within 6 months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Must provide full work availability
Must provide own transportation to/from work
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Length: The approximate dates of this internship are Beginning of January 2020- Beginning of May 2020. Interns must be fully available for the duration of the internship. Housing: A limited amount of company sponsored housing is available on first-come, first-serve basis. If company sponsored housing is not available, interns must be able to provide their own housing for the duration of the internship. Recommendation – Print or Save This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview.

Aug 28, 2019

Internship

At Disney, we are storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The Disney Parks Experiences & Products ( DPEP ) Technology team combines custom technology solutions with creativity to produce robust applications that enhance all aspects of the guest experience. From one of the most sophisticated hotel reservation systems in the world to Disney Cruise Line shipboard systems, Disney Vacation Club member services, FastPass ticketing, PhotoPass, and even inventory applications to ensure we have the right number of cast costumes. Also through our award-winning websites, we provide a digital portal to magical travel destinations such as the Walt Disney World® Resort in Florida, the Disneyland® Resort in California, Disney Cruise Line, Disneyland Paris, Hong Kong Disneyland Resort and Shanghai Disney Resort. DPEP Technology seeks forward-thinking team members who are passionate about delivering a quality product and enjoy working closely with business partners on both strategic and tactical challenges.
Responsibilities :
This intern could be expected to work on engineering and ingestion of multiple data flows/pipelines from on-prem to BigData Hadoop platform in Cloud. They will work on developing workflows to move, transform, store and consume the data using BigData/Hadoop technologies. They will work on deploying various application code/modules on the platform and verifying the executions. The intern could also work with data scientists to develop and operationalize data used by multiple machine learning models, work on creating an automated monitoring process and reporting on the critical alerts and/or be working on data analysis and analytics design pattern experience and be effective at developing solutions as part of project team.
Basic Qualifications :
What you bring…
Strong understanding of Computer Science fundamentals
Strong understanding of Data Lake, Big Data, Hadoop concepts.
Strong understanding of Data Security concepts.
Developer skills in Java and Python.
SQL experience/knowledge
Familiarity with AWS, HDFS/Hive, Spark/Scala, NiFI and/or similar technologies
Familiarity with machine learning libraries like Spark MLLib, AWS Machine Learning, Mahout, JSAT or similar
Solid grounding in data science and information management disciplines
Understanding of Linux operating system and networking fundamentals.
Problem solving and analysis skills
Excellent written, verbal, interpersonal communication and time management skills
Preferred Qualifications:
NiFi experience/knowledge
Numpy experience/knowledge
Pandas experience/knowledge
Python experience/knowledge
Scala experience/knowledge
Database experience such as MySQL, NoSQL, etc...
Preferred Education :
Junior, Senior, Graduate Level student or recent graduate (within 6 months of graduating) pursuing a Bachelor's or Master's Degree or PhD in Computer Science, Computer Engineering, Management Information Systems or related field. Additional Information :
Internship Eligibility:
Must be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within 6 months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Must provide full work availability
Must provide own transportation to/from work
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Length: The approximate dates of this internship are Beginning of January 2020- Beginning of May 2020. Interns must be fully available for the duration of the internship. Housing: A limited amount of company sponsored housing is available on first-come, first-serve basis. If company sponsored housing is not available, interns must be able to provide their own housing for the duration of the internship. Recommendation – Print or Save This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview.

Data Scientists in the ESPN+ Analytics team focus on informing content decisions for ESPN+ through data modeling, analysis, and actionable insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations. Responsibilities :
Modeling, Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this data scientist will be tasked with creating models that ascribe value to content and can inform content development decisions.
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
5+ years of analytical experience.
3+ years work experience using SQL
2+ years Python/R or other statistical programming language
Experience with advanced data modeling and predictive analytics
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Advanced degree in an analytical field or equivalent experience

Sep 08, 2019

Full-time

Data Scientists in the ESPN+ Analytics team focus on informing content decisions for ESPN+ through data modeling, analysis, and actionable insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations. Responsibilities :
Modeling, Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this data scientist will be tasked with creating models that ascribe value to content and can inform content development decisions.
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
5+ years of analytical experience.
3+ years work experience using SQL
2+ years Python/R or other statistical programming language
Experience with advanced data modeling and predictive analytics
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Advanced degree in an analytical field or equivalent experience

We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, Audience Segmentation for Linear to Digital Ad Sales, and Analytics. ​ The Technical Manager and his team will work within the Data Platform and will be charged with delivering actionable data insights from Disney’s large and diverse set of first and third party data sources. This data will come from every aspect of the user journey and product experience - user on-boarding, registration, personalization, ad-sales. Data models will be both implicit and explicit. The primary objective will be to apply modern big data techniques to discover patterns in user behavior that can be leveraged to drive three main metrics – user frequency, user engagement and revenue yield. Further, you will be tasked with building models to segment and cluster consumers based on vast amount of digital and broadcast content – marrying these models with user behavior patterning to deliver personalized, unique experiences to each Disney consumers. You will work closely with Product Managers, Designers, Audience Development and Content Development to identify areas of opportunity. You’ll work with the entirety of DTCI to build infrastructure and systems that support scalable self-serve analytical platform across the enterprise. You’ll evangelize the work product of the data function within the company – both upward to executive management and across the organization to peer and constituent groups. You’ll be an excellent communicator, communicating insight, progress and plans to all levels of the company. You will be responsible for creating and approving artifacts designed to document models, requirements, and results. You’ll bring your knowledge of standard data analytic methods including, but not limited to statistical modelling and SQL based analysis, and more extensive analysis using Spark, R and Python or similar tools. Furthermore, you will be skilled subject matter expert in defining customer engagement metrics, revenue yield, life time value (LTV) across the enterprise. Responsibilities :
Hire and mentor Data Analysts in the team to build consumer data analytics solution across DTCI
Stake holder interviews to build self-serve analytical framework – requirements may include consumer engagement as well as digital ad engagements across all products.
Selecting methods for performing advanced data analysis.
Extensive big data analysis and come up with logic to build analytical dimensions and metrics using Hive, Spark QL or Scripting Languages such as Python.
Document logic in order to help engineering team to implement them.
Build statistical models using tools specified above.
Clearly communicate design & development strategies to all stake holders, educate them as and when needed.
Establishes, supports and maintains standards of the analytics and data analytics process.
Work with engineering team to build infrastructure designed to facilitate the construction of models and the exposure of those models to end users throughout the company.
Work with engineering team to automate daily monitoring of models in production, help troubleshoot issues and make necessary improvements as needed.
Performing ad hoc analysis, interpreting and communicating results in a clear manner
Processing, cleansing and verifying the integrity of data used for analysis
Evangelize the work product of the data science function within the company - both upward to executive management and across to peers and constituent groups.
Coordinate and execute experiments and create frameworks to support those experiments designed to inform both the strategic and tactical initiatives of the Product team.
Assist in the preparation of presentations and formal analysis in support of executive decision making and strategy development.
Basic Qualifications :
First-hand experience – Have 8+ years of professional experience as a Data Analyst mining large scale data and transform data points to knowledge.
Data ninja – Must be hands-on on data analysis tools and frameworks such as SQL, Hive, Spark QL or Python to analyze any amount of data to both solve business requirements and feed in to engineering team to build data transformations.
Visionary - Solid understanding of big data and how an organization will be able build data driven products.
Have a data toolbox – Familiar with technologies relevant to the data such as Hadoop, OLAP databases and visualization tools such as Tableau or Looker or similar.
Hunger to Learn & Teach – Genuine interest to do conduct data mining and share the finding with internal team as well as business users.
Problem solver – Enjoy solving complex business problem using deep data analysis.
Team player – Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
Minimum 2 years of management experience
Expert knowledge of a common big data tools such as SQL, Hive, Hadoop
Expert level knowledge in at least one programming language such as python, R, Scala, Java.
Experience in working with large datasets (Terabytes or more)
Ability to operate effectively in a team-oriented and collaborative environment.
Excellent communication skills and ability to interact with all levels of end users and technical resources
Creative thinking and motivated self-starter
Preferred Qualifications:
Experience with machine learning models.
Data and analytics/measurement experience in digital or mobile app environment preferred.
Experience in Digital Ads experience such as Video and Display Ad measurements will be huge plus.
Required Education :
Bachelor’s degree in Computer Science or Business Administration or similar is required.
Preferred Education :
Master’s degree in Computer Science or Business Administration or similar is preferred.

Aug 30, 2019

Full-time

We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, Audience Segmentation for Linear to Digital Ad Sales, and Analytics. ​ The Technical Manager and his team will work within the Data Platform and will be charged with delivering actionable data insights from Disney’s large and diverse set of first and third party data sources. This data will come from every aspect of the user journey and product experience - user on-boarding, registration, personalization, ad-sales. Data models will be both implicit and explicit. The primary objective will be to apply modern big data techniques to discover patterns in user behavior that can be leveraged to drive three main metrics – user frequency, user engagement and revenue yield. Further, you will be tasked with building models to segment and cluster consumers based on vast amount of digital and broadcast content – marrying these models with user behavior patterning to deliver personalized, unique experiences to each Disney consumers. You will work closely with Product Managers, Designers, Audience Development and Content Development to identify areas of opportunity. You’ll work with the entirety of DTCI to build infrastructure and systems that support scalable self-serve analytical platform across the enterprise. You’ll evangelize the work product of the data function within the company – both upward to executive management and across the organization to peer and constituent groups. You’ll be an excellent communicator, communicating insight, progress and plans to all levels of the company. You will be responsible for creating and approving artifacts designed to document models, requirements, and results. You’ll bring your knowledge of standard data analytic methods including, but not limited to statistical modelling and SQL based analysis, and more extensive analysis using Spark, R and Python or similar tools. Furthermore, you will be skilled subject matter expert in defining customer engagement metrics, revenue yield, life time value (LTV) across the enterprise. Responsibilities :
Hire and mentor Data Analysts in the team to build consumer data analytics solution across DTCI
Stake holder interviews to build self-serve analytical framework – requirements may include consumer engagement as well as digital ad engagements across all products.
Selecting methods for performing advanced data analysis.
Extensive big data analysis and come up with logic to build analytical dimensions and metrics using Hive, Spark QL or Scripting Languages such as Python.
Document logic in order to help engineering team to implement them.
Build statistical models using tools specified above.
Clearly communicate design & development strategies to all stake holders, educate them as and when needed.
Establishes, supports and maintains standards of the analytics and data analytics process.
Work with engineering team to build infrastructure designed to facilitate the construction of models and the exposure of those models to end users throughout the company.
Work with engineering team to automate daily monitoring of models in production, help troubleshoot issues and make necessary improvements as needed.
Performing ad hoc analysis, interpreting and communicating results in a clear manner
Processing, cleansing and verifying the integrity of data used for analysis
Evangelize the work product of the data science function within the company - both upward to executive management and across to peers and constituent groups.
Coordinate and execute experiments and create frameworks to support those experiments designed to inform both the strategic and tactical initiatives of the Product team.
Assist in the preparation of presentations and formal analysis in support of executive decision making and strategy development.
Basic Qualifications :
First-hand experience – Have 8+ years of professional experience as a Data Analyst mining large scale data and transform data points to knowledge.
Data ninja – Must be hands-on on data analysis tools and frameworks such as SQL, Hive, Spark QL or Python to analyze any amount of data to both solve business requirements and feed in to engineering team to build data transformations.
Visionary - Solid understanding of big data and how an organization will be able build data driven products.
Have a data toolbox – Familiar with technologies relevant to the data such as Hadoop, OLAP databases and visualization tools such as Tableau or Looker or similar.
Hunger to Learn & Teach – Genuine interest to do conduct data mining and share the finding with internal team as well as business users.
Problem solver – Enjoy solving complex business problem using deep data analysis.
Team player – Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
Minimum 2 years of management experience
Expert knowledge of a common big data tools such as SQL, Hive, Hadoop
Expert level knowledge in at least one programming language such as python, R, Scala, Java.
Experience in working with large datasets (Terabytes or more)
Ability to operate effectively in a team-oriented and collaborative environment.
Excellent communication skills and ability to interact with all levels of end users and technical resources
Creative thinking and motivated self-starter
Preferred Qualifications:
Experience with machine learning models.
Data and analytics/measurement experience in digital or mobile app environment preferred.
Experience in Digital Ads experience such as Video and Display Ad measurements will be huge plus.
Required Education :
Bachelor’s degree in Computer Science or Business Administration or similar is required.
Preferred Education :
Master’s degree in Computer Science or Business Administration or similar is preferred.

The Experience Insights team seeks to tell the story of our Guests' holistic vacation experiences and pioneer new tactics to enhance vacations through data integration, data science, statistical modeling/analysis, and delivery of innovative services. You will be responsible for building operations research and statistical models for various initiatives supporting the Guest experience. Responsibilities :
Make an impact by….
Performing data collection, data cleansing and validation, and reporting/analysis tasks
Integrating multiple data sets contributing to a '360-degree' view of the Guest
Supporting the analysis and validation of forecasting, predictive, and optimization models
Basic Qualifications :
What you bring to the role…
Proficient in optimized SQL, Teradata SQL
Experience with Python
Experience with Tableau
Ability to convert customer needs in to a completed solution, managing several projects simultaneously with strong organizational skills, partnering skills and attention to detail
Aptitude and willingness to learn new science, software, and analytics applications
Ability to write, create, and verbalize a strong presentation
Preferred Qualifications:
Experience with SAS
Required Education :
Majoring in Data Analytics, Data Science, or a related area
Cumulative GPA of 3.0 or higher (Note: Cumulative GPA stated on resume and application must match cumulative GPA of current institution’s transcript. Please, no rounding.)
Additional Information :
Internship Eligibility:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program. Note: Once you have completed one consecutive year of employment on a Disney internship or program, there must be a minimum 6 month gap before the start of a new internship or program
Must possess unrestricted work authorization
Must provide full work availability
Must provide own transportation to/from work
Current Active Disney Cast Members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland Cast Members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Length: The approximate dates of this internship are January to June 2020. Interns must be fully available for the duration of the internship. Housing: A limited amount of company-sponsored housing is available on a first-come, first-served basis. Recommendation – Print This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview. Materials Required:
College transcripts (official or unofficial) - Please upload your transcript while completing the online application
To upload this document:
Log into your dashboard at the website: DisneyInterns.com
Click the View Your Dashboard and select Profile
Click the Add Files
Be sure your document is in the required title format: FirstName_LastName_Type (i.e. Mickey_Mouse_Transcript)
Select document type of “Transcript"
DisneyData

Aug 20, 2019

Internship

The Experience Insights team seeks to tell the story of our Guests' holistic vacation experiences and pioneer new tactics to enhance vacations through data integration, data science, statistical modeling/analysis, and delivery of innovative services. You will be responsible for building operations research and statistical models for various initiatives supporting the Guest experience. Responsibilities :
Make an impact by….
Performing data collection, data cleansing and validation, and reporting/analysis tasks
Integrating multiple data sets contributing to a '360-degree' view of the Guest
Supporting the analysis and validation of forecasting, predictive, and optimization models
Basic Qualifications :
What you bring to the role…
Proficient in optimized SQL, Teradata SQL
Experience with Python
Experience with Tableau
Ability to convert customer needs in to a completed solution, managing several projects simultaneously with strong organizational skills, partnering skills and attention to detail
Aptitude and willingness to learn new science, software, and analytics applications
Ability to write, create, and verbalize a strong presentation
Preferred Qualifications:
Experience with SAS
Required Education :
Majoring in Data Analytics, Data Science, or a related area
Cumulative GPA of 3.0 or higher (Note: Cumulative GPA stated on resume and application must match cumulative GPA of current institution’s transcript. Please, no rounding.)
Additional Information :
Internship Eligibility:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program. Note: Once you have completed one consecutive year of employment on a Disney internship or program, there must be a minimum 6 month gap before the start of a new internship or program
Must possess unrestricted work authorization
Must provide full work availability
Must provide own transportation to/from work
Current Active Disney Cast Members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland Cast Members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Length: The approximate dates of this internship are January to June 2020. Interns must be fully available for the duration of the internship. Housing: A limited amount of company-sponsored housing is available on a first-come, first-served basis. Recommendation – Print This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview. Materials Required:
College transcripts (official or unofficial) - Please upload your transcript while completing the online application
To upload this document:
Log into your dashboard at the website: DisneyInterns.com
Click the View Your Dashboard and select Profile
Click the Add Files
Be sure your document is in the required title format: FirstName_LastName_Type (i.e. Mickey_Mouse_Transcript)
Select document type of “Transcript"
DisneyData

Data Analytics Internship, Spring 2020 – Burbank, CA The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders. We Are… The Data Analytics consulting team leverages technology, data analytics, optimization, and statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results-oriented, be able to prioritize, and be a team player in a collaborative environment. Responsibilities :
Make an Impact by... supporting marketing, distribution, finance, and supply chain projects that create a strong return on Company investments. The interns help in this process by:
Gathering, validating, and maintaining data in SAS, R or Python
Generating periodic and ad hoc forecasts, while maintaining results
Applying analytics to address marketing, distribution, and finance business questions
Developing analytical solutions for cross-segment clients
Maintaining technical system documentation
Performing industry research and benchmark analysis
Preparing client deliverables
Basic Qualifications :
What You Bring to the Role...
Strategic problem solving & analytical skills
Proven proficiency with SQL, Python, R, or SAS to perform data manipulation and modeling
Basic understanding of Tableau
Statistics or Econometrics background
Experience collecting & analyzing data and reporting on the results
Excellent oral/written communication skills to technical and non-technical audiences
Intense attention to detail
Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
Proficiency in Microsoft Excel
Ability to work well independently, but also in a team environment
Preferred Qualifications:
Demonstrated experience with Tableau or similar data visualization tools
Previous work experience in Statistics
Required Education :
Senior or higher working towards (or recently graduated with) a degree in Statistics, Mathematics, Computer Science, Engineering or a related quantitative field
GPA of 3.0 or higher
Preferred Education :
Currently pursuing (or recently graduated with) a Master's degree in Analytics, Statistics, Mathematics, Economics, Operation Research, or a related quantitative field
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020. Must be able to work 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: Interns must provide their own housing for the duration of their internship program.

Aug 20, 2019

Internship

Data Analytics Internship, Spring 2020 – Burbank, CA The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders. We Are… The Data Analytics consulting team leverages technology, data analytics, optimization, and statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results-oriented, be able to prioritize, and be a team player in a collaborative environment. Responsibilities :
Make an Impact by... supporting marketing, distribution, finance, and supply chain projects that create a strong return on Company investments. The interns help in this process by:
Gathering, validating, and maintaining data in SAS, R or Python
Generating periodic and ad hoc forecasts, while maintaining results
Applying analytics to address marketing, distribution, and finance business questions
Developing analytical solutions for cross-segment clients
Maintaining technical system documentation
Performing industry research and benchmark analysis
Preparing client deliverables
Basic Qualifications :
What You Bring to the Role...
Strategic problem solving & analytical skills
Proven proficiency with SQL, Python, R, or SAS to perform data manipulation and modeling
Basic understanding of Tableau
Statistics or Econometrics background
Experience collecting & analyzing data and reporting on the results
Excellent oral/written communication skills to technical and non-technical audiences
Intense attention to detail
Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
Proficiency in Microsoft Excel
Ability to work well independently, but also in a team environment
Preferred Qualifications:
Demonstrated experience with Tableau or similar data visualization tools
Previous work experience in Statistics
Required Education :
Senior or higher working towards (or recently graduated with) a degree in Statistics, Mathematics, Computer Science, Engineering or a related quantitative field
GPA of 3.0 or higher
Preferred Education :
Currently pursuing (or recently graduated with) a Master's degree in Analytics, Statistics, Mathematics, Economics, Operation Research, or a related quantitative field
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020. Must be able to work 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: Interns must provide their own housing for the duration of their internship program.

Analytics Engineering Internship, Spring 2020 – Burbank, CA The Disney Parks, Experiences and Consumer Products Decision Science & Integration (DDSI) consulting team is responsible for supporting clients across The Walt Disney Company including Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences and Consumer Products. DDSI leverages technology, data analytics, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results-oriented, be able to prioritize and be a team player in a collaborative environment. Responsibilities :
Make an impact by... Supporting the development of advanced analytic products and decision systems for Disney Studios. The interns help in this process by:
Developing software tools in Spark for validation, diagnostics, and evaluation of analytic pipelines
Collecting, preparing, and analyzing data using Spark, Python, and SQL
Performing validation of analytic processes and root-cause analysis to explain anomalies
Executing software tests, tracking bugs, and creating reports that summarize results
Developing and maintaining technical system documentation
Performing industry research and benchmark analysis
Basic Qualifications :
What You Bring to the Role...
Demonstrated strong problem solving, development, and analytical skills
Experience with Python, R, or Matlab
Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
Strong attention to detail
Experience performing data manipulations using SQL
Experience collecting & analyzing data and reporting on the results
Excellent oral/written communication skills to technical and non-technical audiences
Preferred Qualifications:
Experience implementing analytical processes
Previous work experience in software or analytics team
Proficiency with Python
Required Education :
Senior or higher working towards (or recently graduated with) a degree in Computer Science, Engineering, Mathematics or a related quantitative field
GPA of 3.0 or higher
Preferred Education :
Currently pursuing (or recently graduated with) a Master's degree in in Computer Science, Engineering, Mathematics or a related quantitative field
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020. Must be able to work 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: Interns must provide their own housing for the duration of their internship program.

Aug 20, 2019

Internship

Analytics Engineering Internship, Spring 2020 – Burbank, CA The Disney Parks, Experiences and Consumer Products Decision Science & Integration (DDSI) consulting team is responsible for supporting clients across The Walt Disney Company including Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences and Consumer Products. DDSI leverages technology, data analytics, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results-oriented, be able to prioritize and be a team player in a collaborative environment. Responsibilities :
Make an impact by... Supporting the development of advanced analytic products and decision systems for Disney Studios. The interns help in this process by:
Developing software tools in Spark for validation, diagnostics, and evaluation of analytic pipelines
Collecting, preparing, and analyzing data using Spark, Python, and SQL
Performing validation of analytic processes and root-cause analysis to explain anomalies
Executing software tests, tracking bugs, and creating reports that summarize results
Developing and maintaining technical system documentation
Performing industry research and benchmark analysis
Basic Qualifications :
What You Bring to the Role...
Demonstrated strong problem solving, development, and analytical skills
Experience with Python, R, or Matlab
Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
Strong attention to detail
Experience performing data manipulations using SQL
Experience collecting & analyzing data and reporting on the results
Excellent oral/written communication skills to technical and non-technical audiences
Preferred Qualifications:
Experience implementing analytical processes
Previous work experience in software or analytics team
Proficiency with Python
Required Education :
Senior or higher working towards (or recently graduated with) a degree in Computer Science, Engineering, Mathematics or a related quantitative field
GPA of 3.0 or higher
Preferred Education :
Currently pursuing (or recently graduated with) a Master's degree in in Computer Science, Engineering, Mathematics or a related quantitative field
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020. Must be able to work 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: Interns must provide their own housing for the duration of their internship program.

Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Coach data engineers best practices and technical concepts of building large scale data platforms
Basic Qualifications :
3-5 years of experience developing in object oriented Python
Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis
Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience building and deploying ML pipelines: training models, feature development, regression testing
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience

Aug 18, 2019

Full-time

Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Coach data engineers best practices and technical concepts of building large scale data platforms
Basic Qualifications :
3-5 years of experience developing in object oriented Python
Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis
Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience building and deploying ML pipelines: training models, feature development, regression testing
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience

Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data providers ranging from marketing, web analytics, and consumer devices metrics
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Basic Qualifications :
2-3 years of experience developing in object oriented Python
Familiar with big-data solutions using technologies like EMR, S3, Spark
Loading and querying cloud-hosted databases such as Redshift and Snowflake
Building data pipelines using Kinesis, Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying and using data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience

Aug 18, 2019

Full-time

Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data providers ranging from marketing, web analytics, and consumer devices metrics
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Basic Qualifications :
2-3 years of experience developing in object oriented Python
Familiar with big-data solutions using technologies like EMR, S3, Spark
Loading and querying cloud-hosted databases such as Redshift and Snowflake
Building data pipelines using Kinesis, Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying and using data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience

This individual will be responsible for Programmatic campaign management activities such as campaign set-up, documentation creation and maintenance, QA, performance reporting, and billing reconciliation. They will also be responsible for budget pacing review and recommendation of related campaign adjustments to Programmatic Media Manager. The ideal candidate will have previous online ad experience. Prior self-service experience with DSPs and active campaign management is a huge plus.
Responsibilities :
Traffic, QA, and monitor Programmatic media campaigns in the DSPs
Ensure Programmatic campaigns are created and implemented in DSPs according to best practices and to achieve optimal campaign performance
Self-service campaign management within DSPs toward KPIs
Support Programmatic Campaign Manager on campaign management including budget changes, pacing and performance optimization, strategy, and reporting
Handle daily campaign maintenance, including internal questions regarding tracking and status of various campaigns
Assist in the development of partner-facing campaign performance reports
Participate in regular knowledge share sessions to learn new strategies for optimization and enhancement
Basic Qualifications :
1-3 years of digital display experience
Experience in management of digital accounts with a focus on performance
In-depth knowledge of self-service programmatic buying, DSPs, and the wider digital display landscape
Self-service experience using Doubleclick Bid Manager (DBM/DV360), Verizon DSP (Oath/BrightRoll), or other DSP is a huge plus
Good knowledge of the fundamentals of Ad Serving and display technologies
Ability to think creatively, strategically, and identify and resolve problems
Organizational and time management skills
Excellent written and verbal communication skills
Ability to form strong relationships with clients and internal teams
Passion for online advertising technology
Familiarity of how web sites and online ads work
Proficiency in Microsoft Office solutions especially Excel
Analytical thinking and mathematical skills
Excellent communication and writing skills
Required Education :
Four-year college degree or equivalent work experience. Marketing, Mathematics, Statistics, or Finance is a plus (past relevant work experience is prioritized over degree focus)

Aug 17, 2019

Full-time

This individual will be responsible for Programmatic campaign management activities such as campaign set-up, documentation creation and maintenance, QA, performance reporting, and billing reconciliation. They will also be responsible for budget pacing review and recommendation of related campaign adjustments to Programmatic Media Manager. The ideal candidate will have previous online ad experience. Prior self-service experience with DSPs and active campaign management is a huge plus.
Responsibilities :
Traffic, QA, and monitor Programmatic media campaigns in the DSPs
Ensure Programmatic campaigns are created and implemented in DSPs according to best practices and to achieve optimal campaign performance
Self-service campaign management within DSPs toward KPIs
Support Programmatic Campaign Manager on campaign management including budget changes, pacing and performance optimization, strategy, and reporting
Handle daily campaign maintenance, including internal questions regarding tracking and status of various campaigns
Assist in the development of partner-facing campaign performance reports
Participate in regular knowledge share sessions to learn new strategies for optimization and enhancement
Basic Qualifications :
1-3 years of digital display experience
Experience in management of digital accounts with a focus on performance
In-depth knowledge of self-service programmatic buying, DSPs, and the wider digital display landscape
Self-service experience using Doubleclick Bid Manager (DBM/DV360), Verizon DSP (Oath/BrightRoll), or other DSP is a huge plus
Good knowledge of the fundamentals of Ad Serving and display technologies
Ability to think creatively, strategically, and identify and resolve problems
Organizational and time management skills
Excellent written and verbal communication skills
Ability to form strong relationships with clients and internal teams
Passion for online advertising technology
Familiarity of how web sites and online ads work
Proficiency in Microsoft Office solutions especially Excel
Analytical thinking and mathematical skills
Excellent communication and writing skills
Required Education :
Four-year college degree or equivalent work experience. Marketing, Mathematics, Statistics, or Finance is a plus (past relevant work experience is prioritized over degree focus)